• DocumentCode
    72907
  • Title

    Segment Adaptive Gradient Angle Interpolation

  • Author

    Zwart, Christine M. ; Frakes, D.H.

  • Author_Institution
    Sch. of Biol. & Health Syst. Eng., Arizona State Univ., Tempe, AZ, USA
  • Volume
    22
  • Issue
    8
  • fYear
    2013
  • fDate
    Aug. 2013
  • Firstpage
    2960
  • Lastpage
    2969
  • Abstract
    We introduce a new edge-directed interpolator based on locally defined, straight line approximations of image isophotes. Spatial derivatives of image intensity are used to describe the principal behavior of pixel-intersecting isophotes in terms of their slopes. The slopes are determined by inverting a tridiagonal matrix and are forced to vary linearly from pixel-to-pixel within segments. Image resizing is performed by interpolating along the approximated isophotes. The proposed method can accommodate arbitrary scaling factors, provides state-of-the-art results in terms of PSNR as well as other quantitative visual quality metrics, and has the advantage of reduced computational complexity that is directly proportional to the number of pixels.
  • Keywords
    computational complexity; image resolution; image segmentation; interpolation; PSNR; computational complexity; edge-directed interpolator; image intensity; image isophotes; image resizing; image resolution; pixel-intersecting isophotes; pixel-to-pixel; quantitative visual quality metrics; segment adaptive gradient angle interpolation; spatial derivatives; Equations; Image edge detection; Image resolution; Interpolation; Kernel; Mathematical model; Vectors; Directional interpolation; gradient angle; image upsampling; isophote; piecewise linear; Algorithms; Image Enhancement; Image Interpretation, Computer-Assisted; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2012.2228493
  • Filename
    6357284